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This paper presents an algorithm for segmenting 3D point clouds. It extends terrain elevation models by incorporating two types of representations: (1) ground representations based on averaging the height in the point cloud, (2) object models based on a voxelisation of the point cloud. The approach is deployed on Riegl data (dense 3D laser data) acquired in a campus type of environment and compared...
We present a study of the spatial variation of nuclear morphology of stromal and cancer-associated fibroblasts in the mouse mammary gland. The work is part of a framework being developed for the analysis of the tumor microenvironment in breast cancer. Recent research has uncovered the role of stromal cells in promoting tumor growth and progression. In specific, studies have indicated that stromal...
A novel spatio-temporal (ST) three dimensional (3D) adaptive filter bank has been proposed based on the optimization techniques. The proposed adaptive algorithm is defined to track the 3D broadband spatio-temporal plane wave signal. For designing such an adaptive 3D filter bank, the orientation of 3D broadband plane wave signal in frequency domain has been tracked and aligned to the direction of axis...
When operating in partially-known environments, autonomous vehicles must constantly update their maps and plans based on new sensor information. Much focus has been placed on developing efficient incremental planning algorithms that are able to efficiently replan when the map and associated cost function changes. However, much less attention has been placed on efficiently updating the cost function...
This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been...
Three dimensional (3D) shape adaptive cone filter banks are ideally required for selectively filtering of sampled broad band 3D plane wave signals on the basis of their energy distribution. In the proposed design, the shape of each band of the conventional 3D cone filter bank has been adapted based on the energy distribution of the spatio-temporal (ST) 3D plane wave signal. The proposed filter bank...
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